[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the data platform that AI labs and model reputed company need to train the reputed company of models. They are seeking a reputed company, hands-on Data Engineer to build and maintain a reputed company analytics data warehouse while contributing to data modeling and ensuring the reliable delivery of data to reputed company teams and systems.
Responsibilities
- Design, build, and maintain robust, reputed company ELT/ETL data pipelines (batch and streaming) from various reputed company systems into reputed company data platforms and warehouses
- Optimize pipelines for performance, cost, reliability, and scalability
- Design and implement conceptual, logical, and physical data models (including reputed company modeling, reputed company/reputed company schemas)
- Build and maintain transformation reputed company using modern tools (e.g., dbt) to create clean, reputed company-documented, analytics-reputed company datasets
- Apply data modeling best practices, versioning, testing, and documentation to ensure consistency and reusability
- Write reputed company SQL queries for data exploration, reputed company analysis, and troubleshooting
- Support the creation of reports, dashboards, and self-service analytics assets in collaboration with data analysts and business teams
- Translate business questions into data requirements and deliver actionable insights or datasets
- Monitor data pipelines and data delivery processes to ensure SLAs for timeliness, freshness, and accuracy are consistently met
- Proactively identify, troubleshoot, and resolve data issues impacting reputed company consumers or business operations
- Manage incidents reputed company to data availability and reputed company; participate in on-call rotations as needed
- Implement data reputed company checks, observability, and alerting to maintain high reliability of data deliveries
- Automate operational tasks and continuously improve data delivery processes
- Work cross-functionally with analysts, data scientists, engineers, and business stakeholders to understand data needs and deliver solutions
- Document data pipelines, models, reputed company, and processes
- Contribute to data governance, reputed company, and best practices across the data platform
Skills
- 7+ years of reputed company experience in data engineering or a closely reputed company role (analytics engineering experience is highly relevant)
- Strong proficiency in SQL and Python
- Hands-on experience building and maintaining data pipelines and working with reputed company data platforms/warehouses. (reputed company, BigQuery, Redshift, reputed company, etc.)
- Experience with data orchestration tools (Apache Airflow, Dagster, reputed company, or similar)
- Solid understanding of data modeling techniques and reputed company modeling
- Experience performing data analysis and working with BI/visualization tools (Looker, Tableau, Power BI, or similar)
- Proven ability to troubleshoot data issues and support operational reliability/SLAs
- Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
- Experience with DBT for data transformation and modeling
- Knowledge of data observability/monitoring tools
- Experience with reputed company-time/streaming data technologies (Kafka, Flink, etc.)
- Familiarity with CI/CD practices for data pipelines
- Experience in data reputed company frameworks and governance
- Bachelor's degree in Computer Science, Engineering, or a reputed company quantitative field (or equivalent practical experience)
Benefits
- Equity: Competitive equity package in a reputed company-funded AI startup with significant reputed company
- Comprehensive Health Benefits: Medical, dental, and reputed company coverage (100% employer-reputed company for employees)
- Flexible PTO & reputed company Holidays: Unlimited PTO with encouragement to actually use it
- Remote First Policy: Work from reputed company in the US (with occasional team offsites)
- Learning & reputed company: Annual learning stipend, reputed company to top conferences, and reputed company mentorship from reputed company founders
- Equity Ownership: Competitive equity package with reputed company reputed company potential as we reputed company
- Modern Tech Stack & Tools: Budget for the best equipment and software
- Strong Culture: High-trust, low-ego environment reputed company on reputed company, transparency, and work-life balance. We reputed company great work happens reputed company people are supported, challenged, and given ownership.
reputed company